Carnegie Mellon University
Browse

Improving Machine Learning Test and Evaluation with MLTE

Download (595.09 kB)
media
posted on 2025-03-04, 23:25 authored by Alex DerrAlex Derr, Sebastian Echeverria, Katherine R. Maffey, Grace LewisGrace Lewis

Machine learning (ML) models commonly experience issues when integrated into production systems. In this podcast, researchers from the Carnegie Mellon University Software Engineering Institute and the Army AI Integration Center discuss Machine Learning Test and Evaluation (MLTE), a new tool that provides a process and infrastructure for ML test and evaluation. MLTE can aid organizations across the DoD in more effectively negotiating, documenting, and evaluating model and system qualities.

History

Copyright Statement

Audiovisual published 2025 via Software Engineering Institute, Carnegie Mellon University

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC